@Sakayorilove/dsh-laurel

Laurel 套件：给 DeepSeek Harness 的「功能管理」面板 + 四个可单独开关的插件（通知 / Claude 主题 / 记忆与上下文 / 可视化规划）

PluginProductivityLauncherKnowledgeAI ModelsNotificationsSkins & ThemesMemory

Verification

L3 · Install spec

stale

Risk

LowRisk

Health

Active

Trust

Silver

Install verification: sandbox install failed (L4) · tested on dsh 0.2.1-alpha.4 · last checked 10-18Install verification details →

What it doesAI

Laurel suite adds a feature-management panel plus four toggleable DSH plugins: notifications, Claude theme, memory/context, visual planning.

Feature-management panel with per-plugin on/off toggles
Includes notification, Claude theme, memory/context and visual-planning plugins
Each of the four plugins can be enabled or disabled independently

productivityAInotificationAIskin-themeAImemoryAI

Capability tags are AI-inferred or rule-extracted from the README (see badge) — vocabulary-limited, not install-verified. AI = inferred; README = literal keyword from the readme.

Installation

dsh plugin --profile web add github:Sakayorilove/dsh-laurel

security scan passed · default branch source

Install method: GitHub · sandbox install failed (L4) · verified on dsh 0.2.1-alpha.4

Verification & Compatibility

Grouped by plugin version: each card lists the dsh versions actually tested against that artifact version and their install verdicts (L5 wins). Untested combinations are omitted — absence means untested, never assumed compatible. L1–L3 are a plugin-level static archive (independent of the dsh version — the same verdict on every dsh row): they sit in each row's level grid next to L4/L5, marked "static", while their evidence is stored once per plugin inside that row's "checks & evidence" instead of being duplicated per version.

External credentials (plugin-level): none detected

Declared DSH compatibilityfrom package.json · peerDependencies

author declared no dsh version requirement

○ The author declares no dsh version requirement — install is not blocked by version.

Install compatibility matrix (rows = plugin versions〔latest 5〕, columns = dsh versions〔latest 5〕)

At-a-glance → evidence in the cards below

plugin ＼ dsh	dsh 0.2.1-alpha.4	dsh 0.2.1-alpha.2
v1.1.2	·	·

Install compatibility (by plugin version, dsh versions within)

Legend:✓ L5 runtime verified○ ecosystem plugin◼ ecosystem app✗ failed

v1.1.2github2026-10-18

https://github.com/Sakayorilove/dsh-laurel

No runtime install test for this version (static scan only) — compatibility unknown, never assumed.

Only the latest 3 published versions are shown; source-snapshot (commit hash) groups, unstated groups and older versions are omitted — the full archive stays in the data layer (snapshot/unstated groups appear only when a plugin has no published version).

Author badges

Embed the official badges in your README to showcase security & install-test status:

Security Report

Two automated layers, neither a manual review: a static scan (per-plugin rule checks) and a model-driven dynamic security audit that covers only the subset static-flagged at warn or above and never executes plugin code.

dsh-laurelAutomated review · daily

Static low, dynamic no conclusion — stricter wins → overall low.

static low→dynamic no conclusion→overall low

0 critical·0 high

lowoverall · low

1static scan · vet primaryvet AST static analysis (npm artifact or git source)

Version binding

plugin versionv1.2.0dsh manifest

scanned version1.2.0git2026-10-21

current version1.2.0same version

vet verdictclean · git

Vet is an AST static scan (npm artifact or git source).

2dynamic auditmodel reads redacted source context · never executes plugin code

not in the dynamic queue (queue only covers plugins static-flagged at warn or above) — this does not mean the dynamic audit found it safe.

Rule: the dynamic audit can only raise risk, never lower it (raise-only, never an exemption); a wrong raise is withdrawn by human review and the tier falls back to the static verdict. Overall verdict = the stricter of the two layers.

Disclaimer: the static scan and the dynamic security audit are both automated analysis, not a security guarantee. Always review what you install.

Activity

Last commit 2026-10-16 · activity: Active

• Repo created: 2026-10-16

• Stars: ★ 0 · Forks: 0

• Health: Active — committed within last 30 days

Source

GitHub: github.com/Sakayorilove/dsh-laurel

Plugin notes

What is the @Sakayorilove/dsh-laurel DeepSeek Harness plugin?

@Sakayorilove/dsh-laurel is a DeepSeek Harness plugin maintained by @Sakayorilove. It is cataloged on dsh.so as a Productivity plugin for Notifications tasks, with a public GitHub source, declared install command, and automated static scan results; plugins static-flagged at warn or above also carry a model-driven dynamic security audit record.

How do I install @Sakayorilove/dsh-laurel?

Run dsh plugin --profile web add github:Sakayorilove/dsh-laurel in a DeepSeek Harness (dsh) environment. The command is parsed from the plugin manifest and its install spec is verified (L3); runtime sandbox install testing may not have run yet.

How does the security scan relate to a manual audit?

Both layers are automated, not a manual audit: the static scan is heuristic analysis of the repository source (it can produce false positives and miss context), and the dynamic security audit has a model read the harvested source context with secret files stripped and content redacted inline — plugin code is never executed. The dynamic audit only covers plugins static-flagged at warn or above, and its conclusion can only raise the combined verdict, never exempt it. Neither layer is a manual security audit or an endorsement; before using a plugin, review the repository and installed permissions, and combine both with the verification level (L4/L5) and health signals.

"DeepSeek Harness (dsh) is an open-source agent harness developed by DeepSeek AI. It uses an architecture where everything is a plugin, and is powered by Cordis."
— DeepSeek Harness README

Sources: GitHub repository · DeepSeek Harness README · security scan data · Maintained by dsh.so · Last updated 2026-10-16